This free survey is powered by QUESTIONPRO.COM
  1. Surveys
  2. 2009
  3. March
  4. D
  5. Data Benchmark

Data Benchmark

0%
 
 
Scope

Upstream data management – including information management of original/raw documents (e.g. end of well report, composite log) directly related to the business functional areas and disciplines, and application support of technical related applications.
 
 
1a. What geographical area(s) are you providing answers to in this survey? Please select ALL areas that apply:
Local asset / business unit in: Regional area in:
North Sea
Europe
Americas
Russia/CIS
Africa
Middle East
Australasia
 
 
1b. What geographical area(s) are you providing answers to in this survey? Please select ALL areas that apply:
Company wide
Global
 
 
 
2. What are the BUSINESS DRIVERS supporting your data management function? (place in numerical order – 1 is top priority – equal priority allowed)
Enable an environment that drive towards a “single version of the truth” for data
Improve business decision making capabilities through better information quality
Reduce risk of making poor business decisions based on poor quality data
Reduce costs associated with poor data quality
Provide more complete data
Enable consistent usage of data
Increase customer service / satisfaction
Support asset / licence merger, divestiture and /or acquisition readiness
Support the growth of the organisation – for example becoming an operator
Other (please describe)
Don’t know
Not applicable
 
 
 
3. What are the IT DRIVERS supporting your data management function? (place in numerical order – 1 is top priority – equal priority allowed)
Defining common standards and processes
Developing a common and standard data architecture
Defining and implementing best practice
Monitoring to improve data quality
Developing better data integration and transfer of data
Improving access to data
Other (please describe)
Don’t know
Not applicable
 
 
 
4. What is your company’s annual revenue / turnover:
 
Less than US$100 million
 
US$100 - $499million
 
US$500 - $999 million
 
US$1 - $10 billion
 
Exact value
 
Don’t know
 
 
 
5. How would you best describe your company’s LEVEL OF INVESTMENT for data management?
 
Operational support expanding
 
Operational support contracting
 
Operational support static
 
Improvement initiatives / projects expanding
 
Improvement initiatives / projects contracting
 
Improvement initiatives / projects static
 
Improvement initiatives / projects postponed
 
Improvement initiatives / projects cancelled
 
Not currently doing any improvement projects
 
 
 
6. If you are NOT currently considering data management improvement projects why not:
 
Lack of business support e.g. from senior business management or technical users
 
Don’t feel we have a need
 
Lack of cost-justifiable business case
 
Viewed as non-core or non-strategic
 
Other (please describe)
 
Don’t know
 
Not applicable
 
 
 
7. Where does your data management function report to?
 
IT
 
Information Management
 
Finance
 
Data Management
 
Asset / business unit
 
Other (please describe)
 
Don’t know
 
Not applicable
 
 
 
8. Where does your data management function acquire funds from?
 
IT
 
Information Management
 
Finance
 
Data Management
 
Asset / business unit
 
Other (please describe)
 
Don’t know
 
Not applicable
 
 
9. How would you best describe your organisation’s TECHNICAL MATURITY LEVEL?

Basic / Unaware / Non-existent - Capable people - heroic efforts: not treated as a corporate responsibility, craftsmen level of performance. Few defined rules and policies. No data ownership. Same or similar data may exist in multiples files and databases.

Base Managed / Reactive / Foundational / Ad-hoc / Repeatable but intuitive - Individuals develop and follow processes useful for them. Un-integrated point solutions. Issues addressed only as major problems arise. Organisations start to recognise that data management is important but often are not willing to provide the time and money to fix medium to long-term problems.

Advanced / Proactive / Corporate Competence / Established & managed - Standard processes. Capabilities institutionalised. Data recognised as a corporate asset and plays a critical role within the organisation. Distinction between working/project data and master/corporate data for key data types.. Results being captured to avoid re-work.

Distinctive / Predictive / Predictive Risk / Optimised – Data management contribute strongly to exploration/development success. Emphasis on risk overshadows mere productivity. Data management and data quality is an integral part of all business processes. Companies address data problems that cross organisational boundaries. Data definitions exist across all data types.
 
 
Basic / Unaware / Non-existent
 
Base Managed / Reactive / Foundational / Ad-hoc / Repeatable but intuitive
 
Advanced / Proactive / Corporate Competence / Established & managed
 
Distinctive / Predictive / Predictive Risk / Optimised
 
Don’t know
 
 
10a. Which data management roles are in place?
Local asset / business unit
Data manager(s)
Data stewards
Data analyst(s)
Technical assistants
Technologists
 
 
10b. Which data management roles are in place:
Regional Area
Data manager(s)
Data architect
Data stewards
Data quality analyst
Data analyst(s)
Data quality manager
 
 
10c. Which data management roles are in place?
Global
Data manager(s)
Data architect
Data quality manager
Data analyst(s)
 
 
11a. How many professional staff are supported by the data management function? (Geologists)
Local asset / business unit Regional Area Global
0-50
50-100
100-200
200-500
500+
Exact number
Don’t know
 
 
11b. How many professional staff are supported by the data management function? (GeoPhysicists)
Local asset / business unit Regional Area Global
0-50
50-100
100-200
200-500
500+
Exact number
Don’t know
 
 
11c. How many professional staff are supported by the data management function? (PetroPhysicists)
Local asset / business unit Regional Area Global
0-50
50-100
100-200
200-500
500+
Exact number
Don’t know
 
 
11d. How many professional staff are supported by the data management function? (Reservoir Engineers)
Local asset / business unit Regional Area Global
0-50
50-100
100-200
200-500
500+
Exact number
Don’t know
 
 
11e. How many professional staff are supported by the data management function? (Production Engineers)
Local asset / business unit Regional Area Global
0-50
50-100
100-200
200-500
500+
Exact number
Don’t know
 
 
 
12. Do you have a separate local (asset) / regional / global organisation to govern data management? (govern means the high level functions guiding, assessing, planning, specifying, monitoring, enforcing)
 
Local+regional+global
 
Local+regional only
 
Local only
 
No governance organisation
 
 
 
13. What is the approximate ratio of middle to high level managers compared to resources directly loading and managing data?
 
1:3
 
1:5
 
1:10
 
1:20
 
1:50
 
1:100
 
Exact number
 
Don’t know
 
 
 
14. Is your data management organisation driven by a mainly centralised, regional or local (asset/business unit) decision making body?
 
Mainly centralised
 
Mainly regionalised
 
Mainly localised
 
Don’t know
 
 
15. How do you deliver data management services in general terms:
Local asset / business unit Regional Area Global
Services provided in-house with mainly permanent staff
Services are provided with a mix of permanent and contractor staff
Services are outsourced to a contracted external non-vendor company
Services are outsourced to a contracted external vendor company (including hosted services)
Don’t know
 
 
 
16. Is data management recognised as a distinct career path, including the existence of a grading structure, competency and training framework?
 
Yes
 
No
 
Partly
 
 
17. What operational data management services are your providing for each discipline? (select ALL that apply)
Geology GeoPhysics PetroPhysics Reservoir Engineering Production Technology Well Engineering / Drilling Production
Data loading / Export (application dbs, corporate dbs, project dbs)
Data management – archiving, update, support
Data search /data room
Business process / workflow support
User Training (DM procedures)
Data QC / audit / monitoring
Integration of repositories / data transfer / data and application migrations & upgrades
Compliance / government regulation (e.g. uploading data to national data repositories - CDA, NPD etc)
Technical applications support
Geomatics support
 
 
18. Describe the split of effort/resources delivering the services above for each discipline and future plans to develop services in the disciplines?
0% 1-20% 20-40% 40-60% 60-80% 80-100% Future: Increase Future: Decrease Future: Static
Geology
Geophysics
Petrophysics
Reservoir Engineering
Production Technology
Well engineering / Drilling
Production
 
 
19a. How many FTE resources do you have in centralised services/teams for the daily loading and managing of data?
Local asset / business unit
0
1-10
10-20
20-50
50-100
100+
Exact number
Don’t know
 
 
19b. How many FTE resources do you have in centralised services/teams for the daily loading and managing of data?
Regional Area Global
0
1-10
10-20
20-50
50-100
100-300
300-500
500+
Exact number
Don’t know
 
 
20a. How many other FTE data management resources do you have in asset or functional teams for the daily loading and managing of data?
Local asset / business unit
0
1-10
10-20
20-50
50-100
100+
Exact number
Don’t know
 
 
20b. How many other FTE data management resources do you have in asset or functional teams for the daily loading and managing of data?
Regional Area Global
0
1-10
10-20
20-50
50-100
100-300
300-500
500+
Exact number
Don’t know
 
 
21a. How many FTE resources do you have (only) coordinating or facilitating data management?
Local asset / business unit
0
1-10
10-20
20-50
50-100
100+
Exact number
Don’t know
 
 
21b. How many FTE resources do you have (only) coordinating or facilitating data management?
Regional Area Global
0
1-10
10-20
20-50
50-100
100-300
300-500
500+
Exact number
Don’t know
 
 
22a. How many FTE resources do you have providing application support?
Local asset / business unit
0
1-10
10-20
20-50
50-100
100+
Exact number
Don’t know
 
 
22b. How many FTE resources do you have providing application support?
Regional Area Global
0
1-10
10-20
20-50
50-100
100-300
300-500
500+
Exact number
Don’t know
 
 
23a. How many FTE resources are undertaking data management activities BUT are not within the data management function? (e.g. technical assistants/technologists, business users)
Local asset / business unit
0
1-10
10-20
20-50
50-100
100+
Exact number
Don’t know
 
 
23b. How many FTE resources are undertaking data management activities BUT are not within the data management function? (e.g. technical assistants/technologists, business users)
Regional Area Global
0
1-10
10-20
20-50
50-100
100-300
300-500
500+
Exact number
Don’t know
 
 
24. What is the average % of external staff to permanent staff for data management staff?
Local asset / business unit Regional Area Global
0
0-10 %
10-20 %
20-30 %
30-40 %
40-50 %
50-60 %
60-70 %
70-80 %
80-90 %
90-100 %
Exact number
Don’t know
 
 
25. What is the average % of external staff to permanent staff for data managers coordinating or facilitating data management in asset teams?
Local asset / business unit Regional Area Global
0
0-10 %
10-20 %
20-30 %
30-40 %
40-50 %
50-60 %
60-70 %
70-80 %
80-90 %
90-100 %
Exact number
Don’t know
 
 
 
26. Do you have any plans over the next 1-2yrs to change the number of data management staff on operational support?
 
Increase
 
Decrease
 
Stay the same
 
 
27. What data management projects are you currently undertaking or plan to undertake within the next year? (select ALL that apply)
Geology GeoPhysics PetroPhysics Reservoir Engineer Production Technology Well Engineering / Drilling Production
Asset divestiture
Asset acquisition
Corporate / master data capture and population
Corporate / master/project data quality improvement
Corporate / master/project data consistency improvement
Portal implementation
Major application migrations
Major application upgrades
Hardcopy and physical media transcription / cleanup / rationalisation / integration
Hardcopy and physical scanning
Other (please describe)
 
 
28a. How many FTE resources are employed on data management projects? (e.g. cleanups, data migrations, acquisitions/mergers, legacy data)
Local asset / business unit
0
1-10
10-20
20-50
50-100
100+
Exact number
Don’t know
 
 
28b. How many FTE resources are employed on data management projects? (e.g. cleanups, data migrations, acquisitions/mergers, legacy data)
Regional Area Global
0
1-10
10-20
20-50
50-100
100-300
300-500
500+
Exact number
Don’t know
 
 
29. What is the average % of external staff to permanent staff for solely data management staff?
Local asset / business unit Regional Area Global
0
0-10 %
10-20 %
20-30 %
30-40 %
40-50 %
50-60 %
60-70 %
70-80 %
80-90 %
90-100 %
Exact number
Don’t know
 
 
 
30. Do you have any plans over the next 1-2yrs to change the number of data management staff on operational support?
 
Increase
 
Decrease
 
Stay the same
 
 
31. How much do you spend on data management (include outsourced, contractor, permanent costs) for daily operational support? (i.e. not project based work)
Local asset / business unit Regional Area Global
£ 0-1million
£ 1 – 5m
£ 5 –10m
£ 10 – 20m
£ 20 – 50m
£ 50m+
Exact number
% of revenue (question 4)
Don’t know
 
 
32. How much are you spending on data management (include managers, outsourced, contractor, permanent staff costs) for project based work in the current budget year?
Local asset / business unit Regional Area Global
£ 0-1million
£ 1 – 5m
£ 5 –10m
£ 10 – 20m
£ 20 – 50m
£ 50m+
Exact number
% of revenue (question 4)
Don’t know
 
 
33. On average for the past 5yrs, how much have you spent, per year, on data management (include outsourced, contractor, permanent staff costs) project based work?
Local asset / business unit Regional Area Global
£ 0-1million
£ 1 – 5m
£ 5 –10m
£ 10 – 20m
£ 20 – 50m
£ 50m+
Exact number
% of revenue (question 4)
Don’t know
 
 
 
Any information to elaborate, constrain or qualify answers above:
   
 
Please contact [email protected] if you have any questions regarding this survey.
Survey Software Powered by QuestionPro Survey Software